diff --git a/python/tvm/relay/frontend/pytorch.py b/python/tvm/relay/frontend/pytorch.py
index 3fc202a7cc91..9c68bacf60f4 100644
--- a/python/tvm/relay/frontend/pytorch.py
+++ b/python/tvm/relay/frontend/pytorch.py
@@ -670,6 +670,21 @@ def ones_like(self, inputs, input_types):
 
         return out
 
+    def new_zeros(self, inputs, input_types):
+        data = inputs[1]
+
+        import torch
+
+        if not isinstance(data, (_expr.Expr, list, torch.Tensor, np.ndarray)):
+            msg = "Data type %s could not be parsed in zeros op" % (type(data))
+            raise AssertionError(msg)
+
+        if inputs[2] is not None:
+            dtype = _convert_dtype_value(inputs[2])
+        else:
+            dtype = input_types[0]
+        return self.full_impl(data, 0, dtype)
+
     def zeros(self, inputs, input_types):
         data = inputs[0]
 
@@ -1305,7 +1320,10 @@ def tensortonum(self, inputs, input_types):
         return inputs[0]
 
     def view(self, inputs, input_types):
-        data = inputs[0]
+        if isinstance(inputs[0], _expr.Expr):
+            data = inputs[0]
+        else:
+            data = _op.cast(_wrap_const(inputs[0]), input_types[0])
 
         if len(inputs) == 3:
             shape_inp = [inputs[1], self.infer_shape(inputs[2])[0]]
@@ -1384,6 +1402,10 @@ def clone(self, inputs, input_types):
         data = inputs[0]
         return _op.tensor.copy(data)
 
+    def copy(self, inputs, input_types):
+        src = inputs[1]
+        return _op.tensor.copy(src)
+
     def log_softmax(self, inputs, input_types):
         data = inputs[0]
         axis = int(inputs[1])
@@ -2819,6 +2841,7 @@ def create_convert_map(self):
             "aten::addcmul": self.addcmul,
             "aten::ones": self.ones,
             "aten::ones_like": self.ones_like,
+            "aten::new_zeros": self.new_zeros,
             "aten::zeros": self.zeros,
             "aten::zeros_like": self.zeros_like,
             "aten::full": self.full,
@@ -2878,6 +2901,7 @@ def create_convert_map(self):
             "aten::view": self.view,
             "aten::reshape": self.reshape,
             "aten::clone": self.clone,
+            "aten::copy_": self.copy,
             "aten::log_softmax": self.log_softmax,
             "aten::sigmoid": self.sigmoid,
             "aten::sigmoid_": self.sigmoid,